CN115640694A

CN115640694A - Fire-fighting digital twin system, method for deducing fire-fighting plan and related equipment

Info

Publication number: CN115640694A
Application number: CN202211364352.6A
Authority: CN
Inventors: 王磊; 陈果; 卓宁; 赵坤
Original assignee: Asiainfo Technologies China Inc
Current assignee: Asiainfo Technologies China Inc
Priority date: 2022-11-02
Filing date: 2022-11-02
Publication date: 2023-01-24

Abstract

The embodiment of the application provides a fire-fighting digital twin system, a deduction method of a fire-fighting plan and related equipment, and relates to the technical field of fire safety and digital twin. This digital twin system of fire control includes: the system comprises an urban building fire sensing module, a twin base module and a fire-fighting plan and analysis module. The deduction method of the fire-fighting plan comprises the following steps: acquiring fire information of at least one fire point; determining the effectiveness of each preset fire-fighting plan based on the fire information of each fire point; a deduction of the fire plan is determined based on the effectiveness. The embodiment of the application is used for solving the technical problems that in the prior art, the efficiency of manual decision making is low, and the fire situation effectiveness of a fire fighting plan is difficult to analyze quickly and accurately.

Description

Fire-fighting digital twin system, method for deducing fire-fighting plan and related equipment

Technical Field

The application relates to the technical field of fire safety and digital twins, in particular to a fire digital twins system, a deduction method of a fire plan and related equipment.

Background

Along with the rapid development of economic society of China, rapid urbanization and urban population gathering, the urban building form is changed greatly, and along with the more intensive buildings, road networks and population, the more complex urban fire fighting is. After a fire disaster dangerous situation occurs in an urban building, how to quickly locate the spatial position of a fire point by a fire department and how to quickly analyze the optimal fire extinguishing point, the optimal fire fighting scheme and the fire fighting scheme effect of the fire disaster are important subjects for realizing the effectiveness and the high efficiency of urban fire fighting. With the development of informatization technology in recent years, the modern informatization technology is relied on to carry out fire control deduction and analyze the effectiveness of a fire control scheme, and the method is an important solution for improving the urban fire control efficiency and effect.

In recent years, a digital twin technology is rapidly developed, the digital twin technology can carry out all-around simulation and whole-process simulation on urban fire protection by modeling a digital model corresponding to a real world model in a virtual world, and therefore whole-process deduction and analysis of fire protection are possible.

The existing fire-fighting rescue scheme still uses a manual decision mode, the manual decision efficiency is low, and the actual fire-fighting implementation effect is difficult to completely and accurately predict; the scheme of using the unmanned aerial vehicle for fire-fighting operation is also provided, but the unmanned aerial vehicle has a plurality of limiting factors due to the huge construction cost, and the effect of quickly and effectively analyzing the fire condition to make a decision is difficult to achieve.

Disclosure of Invention

The embodiment of the application provides a deduction method and device of a fire-fighting plan, electronic equipment, a storage medium and a program product, and is used for solving the technical problems that in the prior art, the manual decision-making efficiency is low, and the fire-fighting plan is difficult to analyze the fire effectiveness quickly and accurately in advance.

According to an aspect of an embodiment of the present application, there is provided a fire fighting digital twinning system, comprising:

the system comprises an urban building fire sensing module, a fire sensing device and a network, wherein the fire sensing module is deployed with fire sensing equipment and transmits monitoring information obtained by the fire sensing equipment;

the twin base module is provided with a fire-fighting digital twin virtual model for simulation;

the system comprises a fire-fighting plan and analysis module, a plurality of fire-fighting plans and an analysis module, wherein the analysis module is used for deducing and analyzing the effectiveness of each fire-fighting plan based on the information acquired by the urban building fire sensing module and the twin base module.

In another aspect of this example, a method for providing a deduction of a fire fighting protocol based on a fire fighting digital twin system includes:

acquiring fire information of at least one fire point;

determining the effectiveness of each preset fire-fighting plan based on the fire information of each fire point;

determining a deduction of a fire plan based on the effectiveness.

In one possible implementation, the acquiring of the fire information of at least one fire point includes:

acquiring fire information of at least one fire point, wherein the fire information comprises spatial position information and fire state information;

and predicting the fire fighting spatial position points of each fire point based on the spatial position information and the fire state information of each fire point through a preset virtual object model.

In one possible implementation manner, predicting the fire fighting spatial location points of each fire point based on the spatial location information and the fire state information of each fire point through a preset virtual object model, including performing the following analysis operations for each preset fire fighting plan:

reading the minimum road network width of fire fighting equipment models in the fire fighting plan, and removing the road network models with the road network width smaller than the minimum road network width;

and analyzing the corresponding buffer area based on the fire information of each fire point through a preset virtual object model, and determining the junction point of the buffer area and the surplus road network model, wherein the junction point comprises the fire fighting spatial position point of the fire point.

In one possible implementation, determining the validity of each of the preset fire schedules based on the spatial information of each of the fire points includes performing the following analysis operations for each of the preset fire schedules:

placing a fire fighting truck model at the fire fighting spatial position point, reading the maximum extension length of the mechanism attribute of the fire fighting ladder model, and calculating to obtain the spatial position of a fire fighting nozzle, wherein the spatial position comprises: at least one of a longitude value, a latitude value, and an elevation value;

calculating the orientation angle of the fire nozzle in an Euler angle mode according to the position of the fire nozzle and the position of the fire point;

calculating the effective range of the spraying pitch angle according to the position of the fire nozzle and the position of the fire situation;

according to the effective range of the spatial position, the orientation angle and the spraying pitch angle of the fire-fighting nozzle and the physical properties of the spraying material, calculating the physical change of the sprayed fire-fighting material, which is influenced by gravity, and adjusting the fire-fighting spraying track information.

In a possible implementation manner, the calculating the physical change of the fire-fighting material affected by gravity after the spraying according to the effective range of the spatial position, the orientation angle and the spraying pitch angle of the fire-fighting nozzle and the physical property of the spraying material includes:

constructing a local space rectangular coordinate system at the injection port;

traversing the fire-fighting spraying pitch angle from a spraying initial angle to a first preset angle in a mode of increasing a second preset angle every time, wherein the spraying initial angle is an angle formed by connecting the position of a nozzle and a fire central point;

calculating the spatial position of the water spraying particles in each frame based on the set time parameters;

calculating a spatial position set of the water spraying particles in the whole process, and calculating distance values between each point in the position set and the coordinates of the fire points;

and setting an effective distance value, if the coordinate distance between the water spray particles and the fire point is less than the effective distance value, recording an effective spray pitch angle range, and setting the effective spray pitch angle range as an effective fire-fighting spraying scheme of the fire point.

In one possible implementation, determining a deduction of a fire fighting protocol based on the effectiveness includes:

and determining the execution information of the corresponding fire-fighting plan based on the effectiveness, wherein the execution information comprises the optimal fire-fighting position and the effective angle data of the fire-fighting sprinkling irrigation of the plan to each fire-fighting point.

According to another aspect of the embodiments of the present application, there is provided an analysis device for a fire fighting plan, including:

the information acquisition module is used for acquiring the fire condition space information of at least one fire condition point;

the effectiveness inference module is used for determining the effectiveness of each preset fire fighting plan based on the fire situation space information of each fire situation point;

and the information deduction module is used for determining a deduction result of the fire-fighting plan based on the effectiveness.

According to another aspect of the embodiments of the present application, there is provided an electronic device, including a memory, a processor, and a computer program stored on the memory, wherein the processor executes the computer program to implement the steps of the method of the above embodiments.

According to another aspect of embodiments of the present application, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of the above-described embodiments.

According to a further aspect of embodiments of the present application, there is provided a computer program product comprising a computer program which, when executed by a processor, performs the steps of the method of the above embodiments.

The technical scheme provided by the embodiment of the application has the following beneficial effects:

according to the digital twin fire fighting system and the deduction method of the fire fighting plan, fire information of at least one fire point is obtained; determining the effectiveness of each preset fire-fighting plan based on the fire information of each fire point; determining a deduction of a fire plan based on the effectiveness. The scheme can provide decision basis for fire-fighting decision makers and fire-fighting field personnel, can carry out prediction deduction on fire-fighting effects before fire fighting is implemented, analyzes effectiveness of fire-fighting schemes on fire conditions, is particularly suitable for fire prediction analysis and fire-fighting scheme decision-making of complex urban high-rise buildings and assists urban fire-fighting safety.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.

FIG. 1 is a block diagram of a computer system according to an embodiment of the present disclosure;

fig. 2 is a schematic flowchart of a method for deducing a fire-fighting plan according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a typical fire fighting protocol referencing scheme provided by an embodiment of the present application;

fig. 4 is a schematic diagram of a deduction result in a table form provided in an embodiment of the present application;

fig. 5 is a schematic diagram of deductions in a table form provided in an embodiment of the present application;

fig. 6 is a schematic diagram of an overall flow framework of a fire fighting plan deduction provided in an embodiment of the present application;

fig. 7 is a schematic structural diagram of a deduction device of a fire-fighting plan according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

fig. 9 is a schematic diagram of a fire fighting digital twin system provided in an embodiment of the present application.

Detailed Description

Embodiments of the present application are described below in conjunction with the drawings in the present application. It should be understood that the embodiments set forth below in connection with the drawings are exemplary descriptions for explaining technical solutions of the embodiments of the present application, and do not limit the technical solutions of the embodiments of the present application.

As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the terms "comprises" and/or "comprising," when used in this specification in connection with embodiments of the present application, specify the presence of stated features, information, data, steps, operations, elements, and/or components, but do not preclude the presence or addition of other features, information, data, steps, operations, elements, components, and/or groups thereof, as embodied in the art. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein indicates at least one of the items defined by the term, e.g., "a and/or B" may be implemented as "a", or as "B", or as "a and B".

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

FIG. 9 is a diagram of a digital twin fire fighting system provided by the present application for an embodiment of the present application. The system comprises an urban building fire sensing module 501, a twin base module 502 and a fire control plan and analysis module 503.

The urban building fire sensing module 501 is provided with fire sensing equipment and a network for transmitting monitoring information obtained by the fire sensing equipment;

the monitoring information includes, but is not limited to, spatial location information and fire status information.

Optionally, the spatial location information is a geospatial location of the fire occurrence, including longitude, latitude, and elevation, but not limited thereto.

Optionally, the fire status information is used to characterize the fire condition, including but not limited to, the image, temperature, carbon monoxide concentration, oxygen concentration, and smoke concentration within the monitored building.

Optionally, the fire information is transmitted through a 5G private network, and the private network transmits the fire parameter information obtained in real time to a terminal and/or a server for fire fighting plan validity analysis through the 5G network in real time. The 5G private network is composed of a 5G macro station, a 5G pico station, a user plane function/multi-access edge computing (UFP/MEC) private network, and an access and mobility management function/session management function (AMF/SMF) private network module, but is not limited thereto.

A twin base module 502 deployed with a fire-fighting digital twin virtual model for simulation;

it should be noted that the digital twin fire fighting virtual model includes: the virtual model of the urban building, the virtual model of the fire sensing equipment, the virtual model of the urban road network and the virtual model of the fire fighting equipment are not limited to the above.

Optionally, the fire sensing device virtual model is a twin model of the real fire sensing system in a preset virtual object model, and the model may be established in a Building Information Model (BIM) modeling manner.

Optionally, the virtual model of the urban building is a twin model for constructing an urban elevation building, and may be established in the following manner: the urban oblique photography data is processed into three-dimensional model tile data format data (such as 3 dTiles) by a format conversion tool. The data format can realize smooth loading of urban mass building data and reading of spatial information. By loading tile data of the urban building three-dimensional model, the fire-fighting digital twin system integrates the urban high-rise building model with real geographic space data. The requirement sets up the accurate point of taking photo by plane in the unmanned aerial vehicle takes photo by plane to this accuracy of guaranteeing model spatial position.

Optionally, the virtual model of the urban road network is a twin model for constructing the urban road network, and the road network system model includes road network lines and road network widths of real geographic attributes of the road network. The following can be used to establish: coordinate data of a road network are read, a road network surface is drawn in a network graphic library (WebGL, a 3D drawing protocol) mode, and a digital twin system integrates twin models of an urban road network system.

Optionally, the virtual model of the fire fighting equipment is a twin model of the fire fighting equipment. The fire fighting equipment comprises a fire fighting truck and a spray pipe device. The digital twins of the fire-fighting equipment comprise geometric attributes and mechanism attributes, wherein the geometric attributes mainly comprise the shape and the size of the equipment; the mechanism attribute mainly comprises the functional attribute and the parameter of the fire fighting equipment. The mechanism attribute of the fire engine model comprises the minimum road width which can be passed by various fire engines; the fire-fighting high ladder mechanism attribute comprises a high ladder extension height range; the fire-fighting nozzle equipment mechanism attributes comprise fire-fighting material, jet speed and other attributes. The method can be established by means of building information model technology (BIM) modeling.

A fire-fighting plan and analysis module 503, which is deployed with a plurality of fire-fighting plans, and an analysis module for deducing and analyzing effectiveness of each fire-fighting plan based on the information obtained by the urban building fire sensing module and the twin base module.

The fire fighting plan is pre-formulated by a fire fighting manager based on fire fighting equipment and fire fighting professional knowledge, and is stored in the server and/or the terminal and is convenient to call. Optionally, the fire-fighting plan should include, but is not limited to, a fire truck, fire-fighting equipment, and fire-fighting materials. For example, fig. 3 is a typical fire fighting protocol reference scheme provided in the present application.

Fig. 2 is a schematic flow chart of a method for deducing a fire protection plan according to an embodiment of the present application. In the embodiment of the present application, a method for deducing a fire protection plan is provided, which is described by taking the application to the server 102 shown in fig. 1 as an example, and the method includes steps S201 to S203.

S201, acquiring fire information of at least one fire point.

S202, determining the effectiveness of each preset fire-fighting plan based on the fire information of each fire point.

And S203, determining a deduction result of the fire fighting plan based on the effectiveness.

In the application, the fire information of at least one fire point is firstly obtained, the effectiveness of each preset fire control plan is determined based on the fire information of each fire point, and finally, the deduction result of the fire control plan is determined according to the effectiveness.

It should be noted that, in the application, the fire information is acquired through the fire sensing equipment, the fire sensing equipment is responsible for real-time monitoring of the building fire, the fire sensing equipment acquires various information of the fire in real time, and transmits the information to the terminal and/or the server for analyzing the effectiveness of the fire-fighting plan in time.

In some embodiments, obtaining fire information for at least one fire point comprises:

It should be noted that the preset virtual object model includes, but is not limited to, an urban building virtual model, a fire sensing equipment virtual model, an urban road network virtual model, and a fire fighting equipment virtual model.

In this embodiment, the position where the fire occurs is determined by the spatial position information, and the development trend of the fire and the current fire situation are determined by the fire state information. Further, the fire sensing equipment virtual model constructs a virtual fire point on the city building virtual model according to the real geographical position according to the fire information received by the real fire sensing equipment.

In some embodiments, predicting the spatial location of fire fighting at each fire point based on the spatial location information and the fire status information of each fire point through a preset virtual object model, including performing the following analysis operations for each preset fire fighting plan:

reading the minimum road network width passed by the fire fighting equipment model in the fire fighting plan, and removing the road network model with the road network width smaller than the minimum road network width;

In this embodiment, the detailed content in the fire fighting plan is read first, and further, according to the minimum road network width through which the lower fire fighting equipment model in the fire fighting plan passes, the road network model with the road network width smaller than the minimum road network width is removed. Specifically, the fire fighting equipment model is a fire fighting truck model, and the driving route of the fire fighting truck is planned by removing the road network model which the fire fighting truck cannot pass through and then using the remaining road network models.

Furthermore, the buffer zone corresponding to each fire point is analyzed through the fire sensing system virtual model and the urban building virtual model based on the information of each fire point, and the junction of the buffer zone and the rest road network models is determined, wherein the junction comprises the position point of the fire fighting space of the fire point, and the position point is the optimal position point for the fire fighting equipment of the fire point to stop.

In some embodiments, determining the effectiveness of the preset fire schedules based on the spatial information of each fire point comprises performing the following analysis operations for the preset fire schedules:

In this embodiment, the fire fighting truck model is placed at a fire fighting spatial position point, which is the optimal position point where the fire fighting equipment of the fire fighting site stops, the maximum extension length of the mechanism attribute of the fire fighting ladder model in the fire fighting plan is read, the spatial position of the fire fighting nozzle is calculated based on the length, and then the effective range of the spray pitch angle is determined according to the nozzle position and the fire position. Furthermore, the information of the fire fighting injection track is adjusted based on the injection material through the information. The information of the fire-fighting injection trajectory is a trajectory model simulated by the virtual object model.

Illustratively, a fire fighting truck virtual model is placed at the position outfire _ position of the recommended fire extinguishing point, the maximum extension length of the mechanism attribute of the fire fighting ladder virtual model is read, and the spatial position spout _ position of the fire fighting nozzle is calculated and obtained, wherein the spatial position includes a longitude value spout Lng, a latitude value spout Lat and an elevation value spout height.

Further, an optimal direction angle of the fire nozzle is calculated by using an Euler angle mode (HeadingPitchRoll triangle) according to the position spout _ position of the fire nozzle and the fire center point fire _ center. The heading angle is the horizontal heading angle of the fire-fighting nozzle, the heading angle is 0 degree in the positive north direction, and a clockwise calculation method is adopted; the pitch angle is a vertical turnover angle of the fire-fighting nozzle, 0 degree is a horizontal direction of the ground, and 90 degrees is vertical to the ground; the roll angle, exemplified in the example with a round tube injector, is set to 0 since any value of the roll angle is the same for a round tube injector.

The spout optimal orientation angle (heading) is calculated based on the mercator global planar projection. The mercator projection is an equiangular right circular cylinder projection, the longitude and the latitude are parallel straight lines and are intersected into a right angle, the distance between the longitude and the latitude is equal, the direction and the mutual position relation are kept by the projection mode, and therefore, the orientation angle in the horizontal direction can be accurately calculated without angle deformation.

The spout _ position and the fire _ center of the latitude and longitude coordinates are converted into mockato projection coordinate values (spout _ mx, spout _ my), (fire _ mx, fire _ my).

heading＝atan(fire_my-spout_my)/(fire_mx-spout_mx)；

Wherein, the spout _ mx and the spout _ my are x and y values of the coordinates of the mercator at the nozzle, and the fire _ mx and the fire _ my are x and y values of the coordinates of the mercator corresponding to the fire center point. Thereby resulting in an optimal jet orientation angle heading, in degrees, for the fire nozzle.

Further, calculating the effective range of the pitch angle pitch according to the position spout _ position of the fire nozzle and the fire center point fire _ center. The pitch angle initial angle pitch _ base formed by connecting the position of the nozzle and the fire center point is used as an initial angle, and below the initial angle, the fire fighting material cannot reach the fire center point.

And calculating the minimum effective pitch angle of the nozzle based on Gaussian projection. The gaussian projection is a local projection mode, and is commonly used for distance measurement in engineering, so that the distance value between two points in space is more accurate. And converting the longitude and latitude coordinates of the spout _ position and the fire _ center into Gaussian projection coordinate values: (spout _ gx, spout _ gy), (fire _ gx, fire _ gy).

Alternatively, the nozzle minimum effective pitch _ base may be calculated using the following equations (1) and (2):

pitch_base＝atan(fire_height-spout_height)/distance；

equation (2)

Wherein, the spout _ gx and the spout _ gy are x and y values of Gaussian coordinates at the spout, the fire _ gx and the fire _ gy are x and y values of Gaussian coordinates corresponding to the fire center point, fire _ height and spout _ height are respectively the height values of a fire center point and a fire nozzle, and distance is the distance between the position of the fire nozzle and the fire center point, so that the minimum spray pitch angle pitch _ base of the fire nozzle is calculated. Further, the effective range of the fire nozzle pitch angle pitch (pitch _ base, 90) is obtained, in degrees.

Further, according to the spatial position, the spraying angle and the physical properties of the fire-fighting nozzle, the physical movement twin process of the fire-fighting material after spraying, which is influenced by gravity, is calculated, and the fire-fighting effectiveness is analyzed, wherein the part is developed in detail in the next embodiment.

In some embodiments, the calculating, according to the spatial position, the orientation angle, the effective range of the spraying pitch angle, and the physical property of the spraying material of the fire-fighting nozzle, the physical change of the sprayed fire-fighting material, which is influenced by gravity, and adjusting the virtual model thereof in real time includes:

constructing a local space rectangular coordinate system at the injection port;

calculating a spatial position set of the water spraying particles in the whole process, and calculating distance values of each point in the position set and the coordinates of the fire points;

In the embodiment, a rectangular space coordinate system is established at the injection port, so that the subsequent injection process can be further calculated conveniently. The fire-fighting spraying pitch angle is from a spraying initial angle to a first preset angle, and the fire-fighting spraying pitch angle is traversed by increasing a second preset angle every time, wherein the spraying initial angle is an angle formed by connecting a nozzle position and a fire central point. Furthermore, the spatial position of the water spraying particles in each frame is calculated based on a set time parameter, the time parameter is generally determined based on the length of a preset frame time, and the number of the water spraying particles is determined based on the attribute of the fire fighting equipment in the fire fighting plan. And then calculating a spatial position set of the water spraying particles in the whole process, calculating the distance value between each point in the position set and the fire point coordinate, setting an effective distance value, recording the effective spraying pitch angle range if the distance between the water spraying particles and the fire point coordinate is less than the effective distance value, and setting the effective spraying pitch angle range as an effective fire-fighting spraying scheme of the fire point.

Illustratively, a local space rectangular coordinate system is constructed based on the injection port, and the injection port is set to be (0, 0) in a right-hand coordinate system mode, wherein the due north direction is taken as an X axis, and the vertical direction is taken as a Z axis. According to the calculation result of the third step, the fire center point coordinates (fire _ x, fire _ y, fire _ z) in the local coordinate system are as follows, wherein the xyz direction values are respectively:

fire_x＝fire_gx-spout_gx；

fire_y＝fire_gy-spout_gy；

fire_z＝fire_height-spout_height。

further, the fire fighting injection pitch angle pitch is traversed from pitch _ base to 90 degrees, 1 degree is added each time, and the pitch angle pitch = pitch _ base +1 is set. And constructing a unit vector of the jetting direction as

(vel _ x, vel _ y, vel _ z), where the xyz direction values are:

vel_x＝cos(heading)*sin(pitch)；

vel_y＝sin(heading)*sin(pitch)；

vel_z＝cos(pitch)。

then, the injection velocity vector is

speed is the initial injection speed of the fire-fighting material.

Furthermore, time parameters are set, and the spatial position of the water spraying particles in each frame is calculated.

Setting water particlesWhen the ejection time is the initial time 0 and the calculation time per frame is dt, the total time totalttime = ∑ dt, the gravity velocity

The direction is vertical to the ground, and the water flow speed is

The jet velocity vector is

speed is the initial injection speed of the fire-fighting material.

Calculating the spatial position water _ position of the particle motion process:

water _ position = (0, 0) at initial position;

after the first frame dt times:

totalTime＝dt；

after the second frame dt time:

wherein, the first and the second end of the pipe are connected with each other,

calculated for the first frame dt

totalTime＝dt+dt；

After the nth frame time:

wherein the content of the first and second substances,

calculated for frame n-1

last _ position is the water _ position calculated in frame n-1;

totalTime＝∑n*dt；

and calculating a space position set of the whole process of the water spraying particles, calculating the distance value between each point in the position set and the coordinate of the fire central point, setting an effective distance value delta (such as 0.01 m), recording an effective pitch angle range when the distance between the water spraying particles and the fire central point is smaller than the delta distance, and setting the scheme as an effective fire-fighting spraying scheme of the fire point.

In some embodiments, determining a deduction of a fire fighting protocol based on the effectiveness includes:

and determining execution information of a corresponding fire-fighting plan based on the effectiveness, wherein the execution information comprises the optimal fire-fighting position and the effective angle data of the fire-fighting sprinkling irrigation of the plan to each fire-fighting point.

It should be noted that the execution information includes, but is not limited to, the optimal fire-fighting location and the effective fire-fighting sprinkler angle data for each fire-fighting site of the plan.

In the present embodiment, the execution information may be, but is not limited to, a table, a virtual model presentation animation, and specific execution data. Fig. 4 shows a tabular deduction result given in the embodiment of the present application. As shown in fig. 5, a virtual model is presented to demonstrate the deduction of the fire.

Fig. 6 is a schematic diagram of an overall process framework for determining the effectiveness of each preset fire-fighting plan in the present application, and the detailed process can refer to the above embodiment.

According to the deduction method of the fire-fighting plan, fire information of at least one fire point is obtained; determining the effectiveness of each preset fire-fighting plan based on the fire information of each fire point; determining a deduction of a fire plan based on the effectiveness. Further, establishing urban building twins, urban road network twins, fire sensing equipment twins and fire fighting equipment twins to construct a fire fighting digital twins base; based on the twin base, the optimal fire fighting space position of the fire point is analyzed, the space position of the fire fighting nozzle is calculated, the optimal orientation angle and the optimal pitch angle range are calculated, the fire extinguishing effectiveness of the fire fighting plan on the fire point is deduced and analyzed by combining the mechanism attribute of fire fighting equipment, and conclusion data can provide decision basis for fire fighting decision makers and fire fighting field personnel. The scheme can carry out pre-deduction on fire control effects before fire control is implemented, analyzes effectiveness of fire control schemes on fire conditions, is particularly suitable for pre-analysis of fire control performance of complex urban high-rise buildings and decision-making of fire control schemes, and assists urban fire control safety.

Referring to fig. 7, a schematic structural diagram of an analysis apparatus for a fire protection plan according to an embodiment of the present application is provided, where the analysis apparatus 300 for a fire protection plan includes:

the information acquisition module 301 is used for acquiring fire condition space information of at least one fire condition point;

the effectiveness inference module 302 determines the effectiveness of each preset fire fighting plan based on the fire situation space information of each fire situation point;

and an information deduction module 303 for determining a deduction result of the fire fighting plan based on the validity.

Referring to fig. 1, a schematic diagram of a computer system architecture according to an embodiment of the present application is provided. The computer system 100 includes a terminal device 101 and a server 102, wherein the terminal device 101 and the server 102 are connected through a communication network, and the terminal device 101 and the server 102 may be directly or indirectly connected through a wired or wireless communication manner, which is not limited in this application.

The terminal device 101 may be any terminal device installed with an application program or capable of running a program, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like, which is not limited in this embodiment. Regarding the hardware structure, the terminal device 101 includes a display, a memory, a processor, and an input device, but is not limited thereto.

The server 102 may be an independent physical server, may also be a server cluster or a distributed system formed by a plurality of physical servers, and may also be a cloud server that provides basic cloud computing services such as cloud service, a cloud database, cloud computing, a cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, content distribution network, and a big data and artificial intelligence platform.

The server 102 provides background services for applications developed and running in the plurality of terminal apparatuses 101. In the application, the terminal device 101 is used for acquiring fire information of at least one fire point and sending the acquired data information to the server, so that the server 102 determines the effectiveness of each preset fire-fighting plan based on the received fire information, determines the deduction result of the fire-fighting plan based on the effectiveness, can carry out pre-deduction on fire-fighting effects before fire-fighting implementation, analyzes the effectiveness of fire-fighting schemes on fire, is particularly suitable for fire-fighting pre-prediction analysis and fire-fighting scheme decision of complex urban high-rise buildings, and assists urban fire-fighting safety.

Optionally, the method for deducing a fire-fighting plan provided in the embodiment of the present application may be implemented in the terminal device 101, that is, after the terminal device 101 collects the relevant data, it determines the validity of each preset fire-fighting plan based on the received fire information, and determines the deduction result of the fire-fighting plan based on the validity.

The apparatus of the embodiment of the present application may execute the method provided by the embodiment of the present application, and the implementation principle is similar, the actions executed by the modules in the apparatus of the embodiments of the present application correspond to the steps in the method of the embodiments of the present application, and for the detailed functional description of the modules of the apparatus, reference may be specifically made to the description in the corresponding method shown in the foregoing, and details are not repeated here.

The embodiment of the application provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory, wherein the processor executes the computer program to realize the steps of the fire-fighting digital twin system and the plan deduction method, and compared with the related art, the steps of the fire-fighting digital twin system and the plan deduction method can be realized as follows: constructing a fire-fighting digital twin base by establishing urban building twin, urban road network twin, fire sensing equipment twin and fire-fighting equipment twin; and based on the twin base, the optimal fire fighting space position of the fire point is analyzed, so that the space position of the fire fighting nozzle is calculated, the optimal orientation angle and pitch angle range are calculated, the fire extinguishing effectiveness of the fire fighting plan on the fire point is deduced and analyzed by combining the mechanism attribute of the fire fighting equipment, and conclusion data can provide decision basis for fire fighting decision makers and fire fighting field personnel. The scheme can carry out pre-deduction on fire control effects before fire control is implemented, analyzes effectiveness of fire control schemes on fire conditions, is particularly suitable for pre-analysis of fire control performance of complex urban high-rise buildings and decision-making of fire control schemes, and assists urban fire control safety.

In an alternative embodiment, an electronic device is provided, as shown in fig. 8, an electronic device 4000 shown in fig. 8 comprising: a processor 4001 and a memory 4003. Processor 4001 is coupled to memory 4003, such as via bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004, and the transceiver 4004 may be used for data interaction between the electronic device and other electronic devices, such as transmission of data and/or reception of data. In addition, the transceiver 4004 is not limited to one in practical applications, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.

The Processor 4001 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other Programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or execute the various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein. The processor 4001 may also be a combination that performs a computational function, including, for example, a combination of one or more microprocessors, a combination of a DSP and a microprocessor, or the like.

Bus 4002 may include a path that carries information between the aforementioned components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 4002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 8, but that does not indicate only one bus or one type of bus.

The Memory 4003 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium, other magnetic storage devices, or any other medium that can be used to carry or store a computer program and that can be Read by a computer, without limitation.

The memory 4003 is used for storing computer programs for executing the embodiments of the present application, and is controlled by the processor 4001 to execute. The processor 4001 is used to execute computer programs stored in the memory 4003 to implement the steps shown in the foregoing method embodiments.

Embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, and when being executed by a processor, the computer program may implement the steps and corresponding contents of the foregoing method embodiments.

Embodiments of the present application further provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps and corresponding contents of the foregoing method embodiments can be implemented.

The terms "first," "second," "third," "fourth," "1," "2," and the like in the description and claims of this application and in the preceding drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in other sequences than illustrated or otherwise described herein.

It should be understood that, although each operation step is indicated by an arrow in the flowchart of the embodiment of the present application, the implementation order of the steps is not limited to the order indicated by the arrow. In some implementation scenarios of the embodiments of the present application, the implementation steps in the flowcharts may be performed in other sequences as needed, unless explicitly stated otherwise herein. In addition, some or all of the steps in each flowchart may include multiple sub-steps or multiple stages based on an actual implementation scenario. Some or all of these sub-steps or stages may be performed at the same time, or each of these sub-steps or stages may be performed at different times, respectively. In a scenario where execution times are different, an execution sequence of the sub-steps or the phases may be flexibly configured according to requirements, which is not limited in the embodiment of the present application.

The foregoing is only an optional implementation manner of a part of implementation scenarios in this application, and it should be noted that, for those skilled in the art, other similar implementation means based on the technical idea of this application are also within the protection scope of the embodiments of this application without departing from the technical idea of this application.

Claims

1. A fire fighting digital twinning system, comprising:

2. A deduction method of a fire fighting plan, characterized by being applied to the fire fighting digital twin system described in claim 1; the method comprises the following steps:

acquiring fire information of at least one fire point;

determining a deduction of a fire-fighting plan based on the effectiveness.

3. The method of claim 2, wherein obtaining fire information for at least one fire point comprises:

4. The method of claim 3, wherein predicting the spatial location of fire fighting at each fire point based on the spatial location information and the fire status information of each fire point through a preset virtual object model comprises performing the following analysis operations for each preset fire fighting plan:

5. The method of claim 4, wherein determining the effectiveness of the preset fire protocols based on the spatial information of each fire point comprises performing the following analysis operations for the preset fire protocols:

calculating the orientation angle of the fire-fighting nozzle in an Euler angle mode according to the position of the fire-fighting nozzle and the position of the fire point;

6. The method of claim 5, wherein the calculating the physical changes of the fire-fighting material affected by gravity after the spraying according to the effective ranges of the spatial position, the orientation angle and the spraying pitch angle of the fire-fighting nozzle and the physical properties of the spraying material and adjusting the virtual model thereof in real time comprises:

constructing a local space rectangular coordinate system at the injection port;

traversing a fire-fighting injection pitch angle from an injection starting angle to a first preset angle in a manner of increasing a second preset angle every time, wherein the injection starting angle is an angle formed by connecting the position of a nozzle and a fire central point;

7. The method of claim 2, wherein determining a deduction of a fire fighting protocol based on the effectiveness comprises:

8. An analysis device for a fire fighting plan, which is applied to the fire fighting digital twin system as set forth in claim 1; the device includes:

9. An electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the steps of the method according to any of claims 2-7.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 2 to 7.

11. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 2-7 when executed by a processor.